Low-order multiphysics coupling techniques for nuclear reactor applications
•For nominal PWRs, TH feedback is not strong enough to warrant tighter coupling.•CMFD-Coupling demonstrates enhanced convergence with strong feedback mechanisms.•JFNK low-order coupling requires longer runtimes when compared to CMFD-Coupling. The accurate modeling and simulation of nuclear reactor d...
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Veröffentlicht in: | Annals of nuclear energy 2019-10, Vol.132 (C), p.327-338 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •For nominal PWRs, TH feedback is not strong enough to warrant tighter coupling.•CMFD-Coupling demonstrates enhanced convergence with strong feedback mechanisms.•JFNK low-order coupling requires longer runtimes when compared to CMFD-Coupling.
The accurate modeling and simulation of nuclear reactor designs depends greatly on the ability to couple differing sets of physics together. Current coupling techniques most often use a fixed-point, or Picard, iteration scheme in which each set of physics is solved separately, and the resulting solutions are passed between each solver. In the work presented here, two different coupling techniques are investigated: a Jacobian-Free Newton-Krylov (JFNK) approach and a new methodology called Coarse Mesh Finite Difference Coupling (CMFD-Coupling). In this work, both techniques were applied to the low-order CMFD system of equations. This allows for the multiphysics feedback effects to be captured on the low-order system without having to perform a neutron transport solve.
The JFNK and CMFD-Coupling approaches were implemented in the MPACT neutron transport code, which is being developed for the Consortium for Advanced Simulation of Light Water Reactors (CASL). These methods were tested on a wide range of practical reactor physics problems, from a single 3D fuel pin to a massively parallel 3D full core problem. When coupled neutronics-thermal hydraulics problems were investigated with both JFNK and CMFD-Coupling, it was concluded that CMFD-Coupling outperformed JFNK in terms of both accuracy and runtime for every problem. When applied to large full core problems with multiple sources of strong feedback enabled, CMFD-Coupling reduced the overall number of transport sweeps required for convergence. |
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ISSN: | 0306-4549 1873-2100 |
DOI: | 10.1016/j.anucene.2019.04.022 |